Given Data Summary

ActionS1S2S3S4
A120284539
A229252836
A362584859
A452564851

Probabilities:

  • S1: 0.30

  • S2: 0.22

  • S3: 0.18

  • S4: 0.30


a) Maximax Criterion

  • Choose the action with the maximum of the maximum payoffs.

  • Max Payoffs:

    • A1: 45

    • A2: 36

    • A3: 62

    • A4: 56

  • Optimum Action (Maximax): A3


b) Laplace Criterion - average

  • Assumes all states are equally likely.
  • Choose action with the highest average payoff.
ActionAverage Payoff
A133.00
A229.50
A356.75
A451.75
  • Optimum Action (Laplace): A3

c) EOL Criterion (Expected Opportunity Loss)

EOL Values:

ActionEOL
A125.74
A227.66
A30.00
A45.84
  • Optimum Action (EOL): A3

EVPI (Expected Value of Perfect Information)

  1. Best Payoff per State:

    • S1: 62 (A3)

    • S2: 58 (A3)

    • S3: 48 (A3, A4)

    • S4: 59 (A3)

  2. EVwPI:

    (62×0.30)+(58×0.22)+(48×0.18)+(59×0.30)=57.7(62×0.30) + (58×0.22) + (48×0.18) + (59×0.30) = 57.7

  3. Best EMV among all actions:

    • A3 has the highest EMV = 57.7
  4. EVPI = EVwPI - Best EMV

    EVPI=57.7−57.7=0EVPI = 57.7 - 57.7 = 0

  • EVPI = 0, which means perfect information offers no additional value (because one action — A3 — dominates all states).

Final Recommendations

  • Best Action under all criteria: A3

  • EVPI = 0 → No benefit from perfect information

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